Will it take data vigilantes to restore some order in the House of Science? With the replication crisis showing no sign of letting up, some committed scientists have taken it upon themselves to find ways to sniff out cases of egregious fraud. As it turns out, identifying scientific misbehavior is surprisingly easy!
Our guest is a full-time research scientist, author/consultant at Northeastern University in Boston in a Computational Behavioral Science lab. James Heathers (twitter) completed his undergraduate work in Psychology and Industrial relations from the University of Sydney and obtained his doctorate degree on the topic of methodological improvements in heart rate variability at the same institution in 2015.
He and a couple of his colleagues have captured the limelight after exposing problems in the work of a world-famous nutrition researcher, which led to the retraction of 5 papers. These “data thugs” have since designed a couple of tools that can identify suspicious data through a simple analysis of descriptive statistics.
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Michel Accad, MD, practices cardiology and internal medicine in San Francisco, offering individualized care in a free-market setting. His blog about health care and medicine is AlertandOriented.com. He also co-hosts the Accad And Koa Report podcast.